Modeling of Rayleigh-Taylor mixing using single-fluid models

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Turbulence mixing models of different degree of complexity are investigated for Rayleigh-Taylor mixing flows with reference to high-resolution implicit large eddy simulations. The models considered, in order of increasing complexity, comprise the (i) two-equation K-L, (ii) three-equation K-L-a, (iii) four-equation K-L-a-b, and (iv) Besnard-Harlow-Rauenzahn (BHR-2). The above models are implemented in the same numerical framework to minimize the computational uncertainty. The impact of the various approximations represented by the different models is investigated for canonical one-dimensional (1D) Rayleigh-Taylor mixing and for the more complex (2D on average) case of the tilted-rig experiment, aiming to understand the balance between accuracy and complexity. The results provide guidance on the relative merits of various turbulence models over a variety of conditions.

LanguageEnglish
Article number013104
Number of pages14
JournalPhysical Review E
Volume99
Issue number1
DOIs
Publication statusPublished - 9 Jan 2019

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Fluid Model
Rayleigh
fluids
Modeling
Large Eddy Simulation
turbulence models
large eddy simulation
Turbulence Model
Model
Guidance
Turbulence
High Resolution
turbulence
Minimise
Uncertainty
high resolution
Approximation
approximation
Experiment

Keywords

  • turbulence mixing models
  • Rayleigh-Taylor instability
  • single fluid models

Cite this

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abstract = "Turbulence mixing models of different degree of complexity are investigated for Rayleigh-Taylor mixing flows with reference to high-resolution implicit large eddy simulations. The models considered, in order of increasing complexity, comprise the (i) two-equation K-L, (ii) three-equation K-L-a, (iii) four-equation K-L-a-b, and (iv) Besnard-Harlow-Rauenzahn (BHR-2). The above models are implemented in the same numerical framework to minimize the computational uncertainty. The impact of the various approximations represented by the different models is investigated for canonical one-dimensional (1D) Rayleigh-Taylor mixing and for the more complex (2D on average) case of the tilted-rig experiment, aiming to understand the balance between accuracy and complexity. The results provide guidance on the relative merits of various turbulence models over a variety of conditions.",
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Modeling of Rayleigh-Taylor mixing using single-fluid models. / Kokkinakis, Ioannis W.; Drikakis, Dimitris; Youngs, David L.

In: Physical Review E, Vol. 99, No. 1, 013104, 09.01.2019.

Research output: Contribution to journalArticle

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AU - Kokkinakis, Ioannis W.

AU - Drikakis, Dimitris

AU - Youngs, David L.

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AB - Turbulence mixing models of different degree of complexity are investigated for Rayleigh-Taylor mixing flows with reference to high-resolution implicit large eddy simulations. The models considered, in order of increasing complexity, comprise the (i) two-equation K-L, (ii) three-equation K-L-a, (iii) four-equation K-L-a-b, and (iv) Besnard-Harlow-Rauenzahn (BHR-2). The above models are implemented in the same numerical framework to minimize the computational uncertainty. The impact of the various approximations represented by the different models is investigated for canonical one-dimensional (1D) Rayleigh-Taylor mixing and for the more complex (2D on average) case of the tilted-rig experiment, aiming to understand the balance between accuracy and complexity. The results provide guidance on the relative merits of various turbulence models over a variety of conditions.

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